SYMBOL INDEX (28 symbols across 6 files)

FILE: main.py
  function FLAGS (line 20) | def FLAGS():
  function percentile (line 57) | def percentile(t, q):
  function create_image (line 63) | def create_image(representation):

FILE: testing.py
  function FLAGS (line 13) | def FLAGS():

FILE: utils/dataset.py
  function random_shift_events (line 6) | def random_shift_events(events, max_shift=20, resolution=(180, 240)):
  function random_flip_events_along_x (line 17) | def random_flip_events_along_x(events, resolution=(180, 240), p=0.5):
  class NCaltech101 (line 24) | class NCaltech101:
    method __init__ (line 25) | def __init__(self, root, augmentation=False):
    method __len__ (line 38) | def __len__(self):
    method __getitem__ (line 41) | def __getitem__(self, idx):

FILE: utils/loader.py
  class Loader (line 7) | class Loader:
    method __init__ (line 8) | def __init__(self, dataset, flags, device):
    method __iter__ (line 16) | def __iter__(self):
    method __len__ (line 21) | def __len__(self):
  function collate_events (line 25) | def collate_events(data):

FILE: utils/loss.py
  function cross_entropy_loss_and_accuracy (line 4) | def cross_entropy_loss_and_accuracy(prediction, target):

FILE: utils/models.py
  class ValueLayer (line 10) | class ValueLayer(nn.Module):
    method __init__ (line 11) | def __init__(self, mlp_layers, activation=nn.ReLU(), num_channels=9):
    method forward (line 33) | def forward(self, x):
    method init_kernel (line 46) | def init_kernel(self, num_channels):
    method trilinear_kernel (line 70) | def trilinear_kernel(self, ts, num_channels):
  class QuantizationLayer (line 82) | class QuantizationLayer(nn.Module):
    method __init__ (line 83) | def __init__(self, dim,
    method forward (line 92) | def forward(self, events):
  class Classifier (line 127) | class Classifier(nn.Module):
    method __init__ (line 128) | def __init__(self,
    method crop_and_resize_to_resolution (line 147) | def crop_and_resize_to_resolution(self, x, output_resolution=(224, 224)):
    method forward (line 160) | def forward(self, x):